Senior AI Engineer - AI Systems

• The reusable accelerator core and the multi-agent workflows built on it.
  
• Agent design across coding, planning, review, and testing agents, with tool-calling and human-in-the-loop where it earns its place.
  
• The evaluation pipelines and telemetry that make quality measurable and regressions visible.
  
• Reliability, cost control, and observability for agentic systems in real use.
  

Requirements

• At least 6 years of professional experience relevant for the role (probably a mix of AI Engineering and Software Deveopment).
  
• Can deploy a working customer facing app themselves including devops, front end, backend etc
  
• Has experience building a production app which was modern, could handle scale, fast, responsive etc
  
• AI SDLC in production experience
  
• Real depth in LLM application engineering: prompt design, function calling, structured outputs, RAG, vector stores, with the Anthropic and OpenAI APIs.
  
• Evaluation-driven development as a core habit, not an afterthought. You treat evals as the source of truth.
  
• Experience building agentic systems end to end: systems that plan, write code, validate their own output, and improve over time.
  
• Familiar with the orchestration landscape (LangGraph, LlamaIndex, AutoGen, CrewAI) and opinionated about when a thin custom harness beats a framework.
  
• Working fluency with at least one cloud data platform and SQL: enough to build eval and verification infrastructure that your applied-data counterpart fills with domain rules. You do not need to be the deepest data expert in the room.